Jirong Huang

Jirong Huang has a diverse work experience, starting with their current role as a Quantitative Portfolio Manager at Eastspring Investments. In this position, they manage a portfolio of smart beta and beta strategies totaling $2 billion in assets under management. Jirong is skilled in designing and managing customized portfolios based on client mandates and focuses on accurate and efficient benchmark tracking using quantitative tools such as Axioma, Python, and R.

Before joining Eastspring Investments, Jirong worked as a Quantitative Trader, managing their personal portfolio of strategies with a verified track record of a Sharpe ratio greater than 2. Jirong built this portfolio from scratch in 2013 and has achieved consistent performance.

Prior to their role as a Trader, Jirong served as a Data Scientist at the Singapore Tourism Board. In this position, they developed forecasting, data validation, and analytics applications for the organization. Jirong also took on project management responsibilities, collaborating with internal stakeholders and managing projects with the NUS School of Computing. Jirong's work included developing prototype models, opinion mining models, and geospatial expenditure estimation models using various data sources. Jirong also integrated AI APIs into analytics applications and collaborated with data science consultants on various projects.

Before their time at the Singapore Tourism Board, Jirong worked as a Data Scientist and Researcher at Korn Ferry, where they applied their expertise in data analysis. Prior to that, they served as a Senior Economist at the Ministry of Manpower, where they developed Singapore's labor force projections model and conducted research in labor economics. Jirong also advised policy officers on the use of labor force projections for key policies.

Jirong gained valuable experience early in their career through internships. Jirong worked as a Research Intern at International Enterprise Singapore, Strategic Planning Division, where they performed statistical analysis and identified key sectors for Singapore's trade development. Jirong also conducted a research project on the manpower issue faced by Singapore-based companies venturing overseas. Jirong interned at Grameen Bank, a Nobel Peace Prize-winning microfinance institution, where they interviewed borrowers and gained insight into microfinance operations. Jirong also interned at Professional Investment Advisory Services, where they engaged in business development and conducted portfolio reviews for clients.

Overall, Jirong Huang has a strong background in finance, data science, and economics, with extensive experience in portfolio management, quantitative trading, and data analysis.

Jirong Huang has an extensive education history, starting with a Bachelor of Science (BSc) degree in Economics and Finance from Singapore Management University, which they obtained from 2009 to 2013. In 2014, they pursued a Master of Science (MS) degree in Statistics at the National University of Singapore, completing it in 2016. Jirong continued their education at the University of Adelaide from 2016 to 2018, earning a Bachelor's degree/Graduate Diploma in Computer Science.

To further enhance their knowledge and skills, Jirong completed various certifications and courses. In 2011, they obtained the Chartered Market Technician (CMT) designation from the Market Technicians' Association. In 2012, they participated in the Bloomberg Assessment Test. Jirong also pursued the Chartered Financial Analyst (CFA) Level 1 from the CFA Institute, beginning in 2012.

In 2018, Jirong enrolled in the Georgia Institute of Technology, where they are currently pursuing a Master of Science (MS) degree in Computer Science, expected to be completed in 2023. Additionally, in 2020, they completed an Algorithmic Trading Program at QuantInsti.

Furthermore, Jirong has obtained several additional certifications and course certificates. In 2019, they received the Certified Scrum Product Owner (CSPO) designation from the Scrum Alliance. Jirong also completed various data science courses through Coursera, such as Exploratory Data Analysis, Getting and Cleaning Data, The Data Scientist's Toolbox, and R Programming, all obtained from 2014 to 2016. Jirong's other certifications include Advanced Responsible Investment Analysis from Principles for Responsible Investment in 2022 and several certifications related to Python and data science from DataCamp.

Overall, Jirong Huang's educational background showcases a strong foundation in economics and finance, as well as a focus on developing expertise in statistics, computer science, algorithmic trading, and data science.